@inproceedings{e54683caa2bf4e8793a59c9f27c1a334,
title = "Breaking the Scaling Limit: A Parallel-in-Space-and-Time Method for Transient Electromagnetic Problems",
abstract = "In this paper, we propose a new time-domain method to harvest parallelism in both spatial and temporal dimensions for transient electromagnetic problems. The objective is obtained through the investigation of space-time domain decomposition formulation and rational approximation of time-domain Green's function. Comparing to traditional space-only parallel algorithms, the method provides high parallelism and significant speedup on high performance computers with a large number of processors. Moreover, it opens up new means of addressing the temporal multi-scale challenge in time-dependent multiphysics problems. Experiments validate the hypothesis and illustrate the great potential of the method.",
author = "Shu Wang and Zhen Peng",
year = "2018",
month = jan,
day = "1",
doi = "10.1109/APUSNCURSINRSM.2018.8608389",
language = "English (US)",
series = "2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2319--2320",
booktitle = "2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings",
address = "United States",
note = "2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 ; Conference date: 08-07-2018 Through 13-07-2018",
}